Role Overview: The Data Engineer is a developing professional role within the Innovation Lab. Deals with most data engineering, database development, and pipeline problems independently and has some latitude to solve complex data integration and processing issues. Integrates in-depth specialty knowledge of database management, SQL, and Python-based data processing frameworks with a solid understanding of software industry standards and practices. Good understanding of how the development and data team integrates with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data pipeline orchestration, database systems, and contemporary data engineering methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual and relational data. Typically deals with variable and complex database issues with potentially broader business impact. Applies professional judgment when designing, optimizing, and interpreting data structures, pipelines, and results.



Breaks down information and data architectures in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive technical information with product managers, developers, and global stakeholders. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of data pipeline services provided will affect the effectiveness of own team and other closely related analyst teams.
Responsibilities:
Collaborate with Product Managers to formulate Data Engineering projects and analyze complex data requirements.
Design, develop, and maintain automated, scalable data pipelines (ETL/ELT) and data ingestion workflows using Python and SQL.
Deliver optimized data pipeline solutions and propose new data acquisition and automated curation opportunities that directly impact key initiatives across the departm

📌 Research Product Sr Associate (Mumbai)
🏢 Citi
📍 Mumbai